Pericoronary adipose tissue for predicting long-term outcomes
- PMID: 39106525
- PMCID: PMC11441029
- DOI: 10.1093/ehjci/jeae197
Pericoronary adipose tissue for predicting long-term outcomes
Abstract
Aims: Pericoronary adipose tissue (PCAT) attenuation obtained by coronary computed tomography angiography (CCTA) has been associated with coronary inflammation and outcomes. Whether PCAT attenuation is predictive of major adverse cardiac events (MACE) during long-term follow-up is unknown.
Methods and results: Symptomatic patients with coronary artery disease (CAD) who underwent CCTA were included, and clinical outcomes were evaluated. PCAT was measured at all lesions for all three major coronary arteries using semi-automated software. A comparison between patients with and without MACE was made on both a per-lesion and a per-patient level. The predictive value of PCAT attenuation for MACE was assessed in Cox regression models. In 483 patients (63.3 ± 8.5 years, 54.9% men), 1561 lesions were analysed over a median follow-up duration of 9.5 years. The mean PCAT attenuation was not significantly different between patients with and without MACE. At a per-patient level, the adjusted hazard ratio (HR) and 95% confidence interval (CI) for MACE were 0.970 (95% CI: 0.933-1.008, P = 0.121) when the average of all lesions per patient was analysed, 0.992 (95% CI: 0.961-1.024, P = 0.622) when only the most obstructive lesion was evaluated, and 0.981 (95% CI: 0.946-1.016, P = 0.285) when only the lesion with the highest PCAT attenuation per individual was evaluated. Adjusted HRs for vessel-specific PCAT attenuation in the right coronary artery, left anterior descending artery, and left circumflex artery were 0.957 (95% CI: 0.830-1.104, P = 0.548), 0.989 (95% CI: 0.954-1.025, P = 0.550), and 0.739 (95% CI: 0.293-1.865, P = 0.522), respectively, in predicting long-term MACE.
Conclusion: In patients referred to CCTA for clinically suspected CAD, PCAT attenuation did not predict MACE during long-term follow-up.
Keywords: atherosclerosis; coronary artery disease; coronary computed tomography angiography; major adverse cardiac event; pericoronary adipose tissue.
© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.
Conflict of interest statement
Conflict of interest: The Department of Cardiology of Leiden University Medical Center received research grants from Abbott Vascular, Bayer, Biotronik, Boston Scientific, Edwards Lifesciences, GE Healthcare and Medtronic. J.J.B. received speaker fees from Abbott Vascular, Edwards Lifesciences, and Omron. J.W.J. received research grants from and/or was speaker (with or without lecture fees) on a.o.(CME accredited) meetings sponsored by Amarin, Amgen, Athera, Biotronik, Boston Scientific, Dalcor, Daiichi Sankyo, Lilly, Medtronic, Merck-Schering-Plough, Novartis, Novo Nordisk, Pfizer, Roche, Sanofi Aventis, the Netherlands Heart Foundation, CardioVascular Research the Netherlands (CVON), the Netherlands Heart Institute, and the European Community Framework KP7 Programme. J.K. received consultancy fees from GE Healthcare and Synektik Pharma and speaker fees from GE Healthcare, Bayer, Lundbeck, Boehringer-Ingelheim, Pfizer, and Merck, outside of the submitted work. A.S. received consultancy fees from Astra Zeneca and Pfizer and speaker fees from Abbott, Astra Zeneca, BMS, Janssen, Novartis, and Pfizer. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.
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Comment in
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Prognostic value of lesion-specific pericoronary adipose tissue attenuation? Importantly, but not yet!Eur Heart J Cardiovasc Imaging. 2025 Jan 31;26(2):382. doi: 10.1093/ehjci/jeae318. Eur Heart J Cardiovasc Imaging. 2025. PMID: 39658218 No abstract available.
References
-
- Antonopoulos AS, Sanna F, Sabharwal N, Thomas S, Oikonomou EK, Herdman Let al. . Detecting human coronary inflammation by imaging perivascular fat. Sci Transl Med 2017;9:eaal2658. - PubMed
-
- Hansson GK. Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med 2005;352:1685–95. - PubMed
-
- Oikonomou EK, Marwan M, Desai MY, Mancio J, Alashi A, Hutt Centeno Eet al. . Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data. Lancet 2018;392:929–39. - PMC - PubMed
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